AutoDB connects to a PostgreSQL database, automatically maps its schema, and deploys AI‑driven agents that live inside the database.
Funding
Funding not disclosed
Founders
Product
Problem
Developers and data teams often spend significant time writing and maintaining SQL queries, monitoring database performance, and building custom automation for reporting, cleanup, and alerts. This manual effort can slow product development, introduce errors, and require deep knowledge of database schemas.
Solution
AutoDB connects to a PostgreSQL instance, automatically maps the database schema, and deploys AI-driven agents that reside inside the database. These agents translate natural‑language questions into optimized, schema‑aware SQL, execute queries, and generate results in real time. They can also run continuous monitoring, detect anomalies, and trigger automated workflows such as reporting, data cleanup, and alerting. All actions respect the existing database permissions, produce full audit logs, and keep data within the user’s infrastructure, eliminating the need for external services.
Target Audience
Primary customers are software development teams, data engineers, and product managers who need to accelerate data access, automate database operations, and maintain secure, auditable workflows on PostgreSQL databases.
Features
- Automatic schema discovery that builds a complete, relationship‑aware model of tables and data patterns
- Natural‑language to SQL translation producing optimized, context‑sensitive queries
- Persistent agents for real‑time monitoring of performance, anomalies, and data insights
- Configurable automated workflows for reporting, data cleanup, and alert generation
- Multi‑agent coordination allowing specialized agents to collaborate on distinct tasks
- Security‑by‑default operation within existing PostgreSQL permissions with row‑level security and full audit logging
- Interactive dashboard for reviewing generated SQL, approving migrations, and visualizing results without leaving the development environment